Practical Data Science With Amazon SageMaker Training | AWS Training in Seoul

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Practical Data Science with Amazon SageMaker Training

Seoul

Practical Data Science with Amazon SageMaker Training in Seoul builds hands-on expertise in preparing data, training, tuning, and deploying machine learning models using SageMaker. It strengthens data-driven decision-making and develops skills in model evaluation, optimisation, and scalable cloud-based deployment.

Acquire Skills with our Practical Data Science with Amazon SageMaker Training
Learn about how to access Amazon SageMaker notebooks in a VPC
Become familiar with how to load and visualise the dataset

Dates & Prices

Practical Data Science with Amazon SageMaker Training Overview

Course syllabus

Who it’s for

What’s included

FAQs

Practical Data Science with Amazon SageMaker Training Course Outline

Module 1: Introduction to Machine Learning

Types of Machine Learning
Job Roles in Machine Learning
Steps in the Machine Learning Pipeline

Module 2: Introduction to Data Preparation and SageMaker

Training and Test Dataset Defined
Introduction to Amazon SageMaker
Launching a Jupyter Notebook

Module 3: Problem Formulation and Dataset Preparation

Business Challenge: Customer Churn
Review of Customer Churn Dataset

Module 4: Data Analysis and Visualisation

Loading and Visualising Your Dataset
Cleaning the Data

Module 5: Training and Evaluating a Model

Types of Algorithms
Training the Data
Evaluating Model Performance

Module 6: Automatically Tune a Model

Automatic Hyperparameter Tuning with SageMaker

Module 7: Relative Cost of Errors

Cost of Various Error Types
Binary Classification Cutoff

Module 8: Amazon SageMaker Architecture and Features

Amazon SageMaker Model Card
Amazon SageMaker Neo

Who should attend this Practical Data Science with Amazon SageMaker Training Course?

The Practical Data Science with Amazon SageMaker Course is designed for data professionals and analysts who want to harness the power of Amazon SageMaker for effective and practical data science projects. The following professionals can greatly benefit from attending this course:

Data Scientists
Data Analysts
Machine Learning Engineers
Cloud Solutions Architects
Business Analysts
Data Engineers
IT Professionals

Prerequisites of the Practical Data Science with Amazon SageMaker Training Course

There are no formal prerequisites for this Practical Data Science with Amazon SageMaker Course. However, familiarity with Python programming language and Machine Learning can be beneficial for the delegates.

Practical Data Science with Amazon SageMaker Training Course Overview

Amazon SageMaker is a powerful cloud-based machine learning platform that simplifies the process of building, training, and deploying machine learning models at scale. With the growing demand for data-driven decision-making, organisations need tools that streamline workflows and enhance productivity. Amazon SageMaker meets this need by providing an integrated environment for data scientists and developers to harness the power of machine learning without extensive infrastructure management.

This Practical Data Science with Amazon SageMaker Training is particularly beneficial for data scientists, machine learning engineers, data analysts, and business intelligence professionals seeking to deepen their understanding of data science methodologies and Amazon SageMaker. Additionally, IT professionals and project managers involved in data-driven projects can also gain valuable insights from this training.

This 1-day Practical Data Science with Amazon SageMaker Training by The Knowledge Academy equips professionals with the practical skills needed to leverage Amazon SageMaker effectively. Delegates will learn to create and deploy machine learning models, streamline their data science workflows, and implement best practices for model optimisation and monitoring. The hands-on approach ensures delegates can apply their learning immediately to real-world scenarios.

Course Objectives

To understand the fundamentals of machine learning and data science
To navigate the Amazon SageMaker interface effectively
To build, train, and deploy machine learning models
To implement data pre-processing techniques
To evaluate and optimise models for better performance
To explore various machine learning algorithms available in SageMaker

Upon completion of the Practical Data Science with Amazon SageMaker Training, delegates will possess the skills to implement data science projects using Amazon SageMaker, enabling them to drive business insights and innovation through effective machine learning solutions. This practical knowledge can significantly enhance their contributions to data-driven initiatives within their organisations.

What’s included in this Practical Data Science with Amazon SageMaker Training Course?

World-Class Training Sessions from Experienced Instructors
Practical Data Science with Amazon SageMaker Certificate
Digital Delegate Pack

Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.

Train Your Workforce

Looking for Practical Data Science with Amazon SageMaker Training in-house or onsite training in Seoul? We specialise in corporate group training and bulk bookings for organisations of all sizes in Seoul. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

Our Seoul venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Seoul is the capital city of South Korea. It has a population of around 10 million people. It is a global power and has a growing economy to rival that of Tokyo, New York City and Los Angeles. It’s been voted to have the second best quality of life in the world. Education is compulsory for children in Seoul until they are in grade ten. There are three specialist science high schools and six foreign language schools in Seoul. The Seoul Metropolitan Office of Education takes care of the schools in the city which include 235 high schools, 80 vocation schools, 377 middle schools and 33 special schools. South Korea’s best universities are located in Seoul. This includes Seoul National University, Yonsei University and Korea University. English is taught in Korean schools but the Korean people rarely get a chance to use it in conversation. In the main cities, English is quite common amongst the locals. The unemployment rate in Seoul is around 4.2%. The national average is slightly lower at 3.5%.

Ways to take Practical Data Science with Amazon SageMaker Training in Seoul

Online Instructor-Led Learning

Online Self-Paced Learning

Onsite Learning

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Practical Data Science with Amazon SageMaker Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Live classes

Join a scheduled class with a live instructor and other delegates.

Interactive

Engage in activities, and communicate with your trainer and peers.

Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

Expertise

With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

Scalable Training Delivery

Access Practical Data Science with Amazon SageMaker Training in Seoul delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master Practical Data Science with Amazon SageMaker Training with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With Weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Practical Data Science with Amazon SageMaker Training industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn Practical Data Science with Amazon SageMaker Training through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

Flexible Learning

Access Practical Data Science with Amazon SageMaker Training resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

Global Training Provider

Access Practical Data Science with Amazon SageMaker Training in Seoul from a trusted global training provider delivering consistent learning to professionals worldwide.

Cost-Effective Training

Benefit from the cost-effective Practical Data Science with Amazon SageMaker Training that delivers high-quality course content without compromising learning outcomes.

Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Experience the most sought-after learning style with The Knowledge Academy's Practical Data Science with Amazon SageMaker Training Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Practical Data Science with Amazon SageMaker Training sessions.

Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Practical Data Science with Amazon SageMaker Training Course at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

Team building opportunity

Our Practical Data Science with Amazon SageMaker Training offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Practical Data Science with Amazon SageMaker Training Schedule in Seoul

Online Instructor-Led

Online Self-Paced

Onsite

Package deals for Practical Data Science with Amazon SageMaker Training

Our training experts have compiled a range of course packages on a variety of categories in Practical Data Science with Amazon SageMaker Training, to boost your career. The packages consist of the best possible qualifications with Practical Data Science with Amazon SageMaker Training, and allows you to purchase multiple courses at a discounted rate.

Practical Data Science With Amazon SageMaker Training | AWS Training in Seoul FAQs

What is Machine Learning (ML)?

Machine Learning (ML) is a data analysis process that automates the creation of analytical models. Artificial Intelligence is based on the premise that systems can learn from data, recognise patterns, and make judgments with little or no human input.

What are the pre-requisites for the Practical Data Science With Amazon SageMaker Course?

Delegates should have a foundational understanding of data science concepts, experience with programming in Python, and familiarity with AWS services to benefit fully from the Practical Data Science with Amazon SageMaker course.

Who should attend this Practical Data Science With Amazon SageMaker Training Course?

The Practical Data Science with Amazon SageMaker training course is ideal for data scientists, machine learning engineers, software developers, and IT professionals seeking to enhance their skills in building and deploying machine learning models effectively.

What are the types of Machine Learning (ML)?

Machine learning types include supervised learning, which uses labelled data to train models; unsupervised learning, which identifies patterns in unlabelled data; and reinforcement learning, which optimises actions based on feedback from the environment.

What are the benefits of SageMaker?

Amazon SageMaker simplifies the machine learning process by providing tools for building, training, and deploying models at scale, enhancing productivity, reducing time to market, and enabling seamless integration with other AWS services.

What are the advantages of Machine Learning (ML)?

Easily identifies trends and patterns, no human intervention needed (automation), continuous improvement, handling multi-dimensional and multi-variety data, wide applications, etc., are the advantages of Machine Learning (ML).

What will I learn during the Practical Data Science with Amazon SageMaker Training course?

During the Practical Data Science with Amazon SageMaker Training course, you will learn various essential topics such as XGBoost and SageMaker, review customer churn dataset, auto-scaling, job roles in ML, A/B deployment for testing, check hyperparameter tuning job, and many more.

Do you offer 24/7 support for the Practical Data Science With Amazon SageMaker Training Course?

Yes, The Knowledge Academy offers 24/7 support for Practical Data Science with Amazon SageMaker Training via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.

What is included in the Practical Data Science with Amazon SageMaker Training Course?

In this course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.

What is the duration of this Practical Data Science With Amazon SageMaker Certification?

This course takes 1-day to complete during which delegates participate in intensive learning sessions that cover various course topics.

How long until I receive the course confirmation details for Practical Data Science with Amazon SageMaker Training?

You should receive the confirmation details for the Practical Data Science with Amazon SageMaker Course within 24-48 hours after registration. If you haven't received it by then, please check your spam folder or contact our support team for assistance.

What are the skills required to attend this Practical Data Science With Amazon SageMaker Course?

Essential skills for attending the Practical Data Science with Amazon SageMaker Certification include proficiency in Python programming, a grasp of data analysis techniques, familiarity with machine learning concepts, and basic knowledge of AWS services.

Are there any specific industries or job roles that can particularly benefit from Practical Data Science With Amazon SageMaker Certification?

Industries such as finance, healthcare, retail, and technology, along with job roles like data scientists, machine learning engineers, and business analysts, can significantly benefit from the Practical Data Science with Amazon SageMaker certification.

Is this Practical Data Science With Amazon SageMaker Certification Course suitable for individuals at different career stages?

Yes, the Practical Data Science with Amazon SageMaker Certification Course is suitable for individuals at various career stages, from beginners seeking foundational knowledge to experienced professionals aiming to enhance their machine learning skills and deploy models effectively.

Do I need any prior experience to take this Practical Data Science with Amazon SageMaker Training Course?

While prior experience is not mandatory, having a basic understanding of data science concepts and proficiency in Python programming will greatly enhance the learning experience for those taking the Practical Data Science with Amazon SageMaker Training Course.

Do you provide self-paced Practical Data Science With Amazon SageMaker Training Course?

The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.

Do you provide corporate training for this Practical Data Science with Amazon SageMaker Course?

Yes, we provide corporate training for this course, tailored to fit your organisation’s requirements.

Who should I contact if I am unable to access my Practical Data Science with Amazon SageMaker Training?

If you are unable to access your Practical Data Science With Amazon SageMaker Training, contact the support team at The Knowledge Academy via their customer service email or phone number provided on their website for prompt assistance and resolution of your issue.

Are there practical components or hands-on activities in Practical Data Science With Amazon SageMaker Training Course?

Yes, the Practical Data Science with Amazon SageMaker training course includes hands-on activities and practical components, allowing delegates to apply their learning through real-world scenarios and gain experience in building and deploying machine learning models.

Why choose The Knowledge Academy in Seoul over others for Practical Data Science with Amazon SageMaker Training?

The Knowledge Academy in Seoul stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.

What is the cost/training fees for Practical Data Science with Amazon SageMaker Training in Seoul?

The training fees for Practical Data Science with Amazon SageMaker Training in Seoul starts from $2995

Which is the best training institute/provider of Practical Data Science with Amazon SageMaker Training in Seoul?

The Knowledge Academy is one of the Leading global training provider for Practical Data Science with Amazon SageMaker Training.

What are the best AWS Certification Training Courses courses in Seoul?

Please see our AWS Certification Training Courses courses available in Seoul

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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